metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_silero_mini_model
results: []
my_awesome_silero_mini_model
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5030
- Accuracy: 0.74
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6843 | 1.0 | 38 | 0.6689 | 0.615 |
| 0.6019 | 2.0 | 76 | 0.6146 | 0.635 |
| 0.5591 | 3.0 | 114 | 0.5583 | 0.68 |
| 0.5717 | 4.0 | 152 | 0.5293 | 0.73 |
| 0.4943 | 5.0 | 190 | 0.5587 | 0.7 |
| 0.5018 | 6.0 | 228 | 0.5269 | 0.725 |
| 0.4932 | 7.0 | 266 | 0.5162 | 0.695 |
| 0.465 | 8.0 | 304 | 0.5303 | 0.72 |
| 0.4476 | 9.0 | 342 | 0.5220 | 0.735 |
| 0.4509 | 9.7467 | 370 | 0.5030 | 0.74 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.1.0+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0